{"id":"W2113020396","doi":"10.1016/j.spinee.2011.08.046","title":"Cost-Effectiveness Analysis of a Reduction in Diagnostic Imaging in Degenerative Spinal Disorders","year":2011,"lang":"en","type":"article","venue":"The Spine Journal","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto Western Hospital","funders":"","keywords":"Medicine; Magnetic resonance imaging; Radiology; Computed tomography; Degenerative Disorder; Reduction (mathematics); Medical imaging; Nuclear medicine; Pathology; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003886294,0.0009604123,0.001715895,0.002006285,0.0003026867,0.001543998,0.001146001,0.001823694,0.006244536],"category_scores_gemma":[0.01668563,0.000523043,0.003815978,0.001417459,0.0007318764,0.001137415,0.0006658006,0.001228008,0.00022634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003447083,"about_ca_system_score_gemma":0.002271703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007751483,"about_ca_topic_score_gemma":0.004579349,"domain_scores_codex":[0.9945425,0.004026754,0.0002128134,0.0002383127,0.0005034201,0.0004762262],"domain_scores_gemma":[0.9898856,0.008601585,0.0005850746,0.000186857,0.0003905995,0.0003503716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.1527351,0.008756255,0.06862625,0.004411072,0.01339063,0.001095367,0.0002395689,0.4509871,0.007354614,0.01536256,0.004787046,0.2722544],"study_design_scores_gemma":[0.03087436,0.08100652,0.2869614,0.001189658,0.04422181,0.002866046,0.001659962,0.5135657,0.006970458,0.01985795,0.01040517,0.0004210492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533803,0.01307592,0.01240828,0.004791799,0.0003875313,0.0008771339,0.003043561,0.0001434226,0.01189206],"genre_scores_gemma":[0.9964702,0.000774653,0.001862056,0.0001929851,0.0000617558,0.00007592653,0.0002227042,0.000005597604,0.000334186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007751483,"threshold_uncertainty_score":0.02501047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02678937917269106,"score_gpt":0.2876731732041525,"score_spread":0.2608837940314614,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}